IIndicatorsAccessor.CommodityChannelIndex

method · IIndicatorsAccessor · cAlgo.API.Internals

DesktopCLICloud

The Commodity Channel Index identifies overbought and oversold conditions, price reversals and trend strength.

Overloads

Signature
`CommodityChannelIndex(int periods)`
`CommodityChannelIndex(DataSeries source, int periods)`

The Commodity Channel Index identifies overbought and oversold conditions, price reversals and trend strength.

C#Python

CommodityChannelIndex CommodityChannelIndex(int periods)

api.Indicators.CommodityChannelIndex(periods: int) -> CommodityChannelIndex

Parameters

Name	C# type	Python type	Description
`periods`	`int`	`int`	The value of the periods used for calculation.

Returns CommodityChannelIndex — Commodity Channel Index indicator instance.

Examples

C#Python

var cci = Indicators.CommodityChannelIndex(20);
if (cci.Result.LastValue > 100)
    Print("CCI(20) is above 100: {0}", cci.Result.LastValue);

cci = api.Indicators.CommodityChannelIndex(20)
if cci.Result.LastValue > 100:
    api.Print(f"CCI(20) is above 100: {cci.Result.LastValue}")

The Commodity Channel Index identifies overbought and oversold conditions, price reversals and trend strength.

C#Python

CommodityChannelIndex CommodityChannelIndex(DataSeries source, int periods)

api.Indicators.CommodityChannelIndex(source: DataSeries, periods: int) -> CommodityChannelIndex

Parameters

Name	C# type	Python type	Description
`source`	`DataSeries`	`DataSeries`	The source data used for calculation.
`periods`	`int`	`int`	The value of the periods used for calculation.

Returns CommodityChannelIndex — Commodity Channel Index indicator instance.

Examples

C#Python

var cci = Indicators.CommodityChannelIndex(Bars.TypicalPrices, 20);
Print("CCI(20) of typical prices: {0}", cci.Result.LastValue);

cci = api.Indicators.CommodityChannelIndex(api.Bars.TypicalPrices, 20)
api.Print(f"CCI(20) of typical prices: {cci.Result.LastValue}")